Sheshka (PhD)'s repositories
wagon-dotfiles
Default configuration for Le Wagon's students
taxi-fare-interface
NY taxi fare toy play
kapre
kapre: Keras Audio Preprocessors
course-101-0250-00
ETH course - Solving PDEs in parallel on GPUs
simongravelle-exemple.github.io
Simple academic theme for scientist personal page
aRtsy
aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.
wagon-data-setup
Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp
Ayce45
Hey, I'm Ayce!
Raman-Sheshka.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
groove2groove
Code for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"
cellGPU
GPU-accelerated simulations of Voronoi and vertex models of cells. Initial version published in Computer Physics Communications: https://doi.org/10.1016/j.cpc.2017.06.001
pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
BFM_multistate_Stator_Motor
Analysis of kinetic models for the Bacterial Flagella Motor stator assembly
neuralflow
The framework for inferring Langevin dynamics from spike data
Trajectory_analysis
In this repo we share a method to classify ergodic/non-ergodic trajectories.
BINNs
Biologically-informed neural networks
artiste_algorithmique
Prototype of an AI artist
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations